Case study · Insurance

How an Insurance Platform Modernised Legacy Java Services

The monolith was stable but slow to change. An incremental modernisation plan reduced risk.

How an Insurance Platform Modernised Legacy Java Services

Illustrative engagement scenario — names and details are representative of typical client situations.

Client
Insurance technology platform
Industry
Insurance
Location
United Kingdom
Roles hired
3 Java developers, 1 DevOps engineer, 1 QA engineer
Engagement
Full-time, ongoing
Java 17upgrade completed
Incrementalservice extraction
Automatedregression tests on critical flows

The challenge

A legacy Java monolith made releases slow and risky, but a full rewrite was considered too dangerous.

The solution

The team added tests around critical flows, upgraded to Java 17, introduced CI/CD and extracted services gradually using the strangler pattern.

Steps

  1. Characterisation tests.
  2. Java and Spring upgrades.
  3. CI/CD and observability.
  4. Strangler-pattern extraction.

Lessons

Tests and observability first made every later change safer.

See Java developers.

DirectAppoint Editorial

The DirectAppoint editorial team writes practical guides on hiring, managing and scaling dedicated remote teams.

Key takeaways

Key takeaways

In this illustrative scenario, an insurance technology platform used three Java developers, a DevOps engineer and a QA engineer to modernise a legacy monolith incrementally — adding characterisation tests, upgrading to Java 17, introducing CI/CD and extracting services with the strangler pattern.

Topic
Java modernisation case study
Author
DirectAppoint Editorial

DirectAppoint · info@directappoint.com

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